convertion scripts

.gitattributes

@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.mp3 filter=lfs diff=lfs merge=lfs -text
 *.ogg filter=lfs diff=lfs merge=lfs -text
 *.wav filter=lfs diff=lfs merge=lfs -text
+*.jsonl filter=lfs diff=lfs merge=lfs -text

notebooks/convert-dataset.ipynb

@@ -0,0 +1,529 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "003ecb55",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "from typing import Dict, List\n",
+    "from tqdm import tqdm\n",
+    "\n",
+    "import pandas as pd\n",
+    "import srsly\n",
+    "import spacy\n",
+    "from spacy.training.iob_utils import biluo_to_iob\n",
+    "from spacy.training import offsets_to_biluo_tags\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d43fd200",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataset_path = Path(\"promises-elections-pl-twitter-1-reviewed-fixed-case.jsonl\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f2ffadfc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = list(srsly.read_jsonl(dataset_path.as_posix()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e89bde09",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import uuid\n",
+    "from IPython.display import display_javascript, display_html\n",
+    "import json\n",
+    "\n",
+    "class RenderJSON(object):\n",
+    "    def __init__(self, json_data):\n",
+    "        if isinstance(json_data, dict):\n",
+    "            self.json_str = json.dumps(json_data)\n",
+    "        else:\n",
+    "            self.json_str = json\n",
+    "        self.uuid = str(uuid.uuid4())\n",
+    "        \n",
+    "    def _ipython_display_(self):\n",
+    "        display_html('<div id=\"{}\" style=\"height: 600px; width:100%;\"></div>'.format(self.uuid),\n",
+    "            raw=True\n",
+    "        )\n",
+    "        display_javascript(\"\"\"\n",
+    "        require([\"https://rawgit.com/caldwell/renderjson/master/renderjson.js\"], function() {\n",
+    "          document.getElementById('%s').appendChild(renderjson(%s))\n",
+    "        });\n",
+    "        \"\"\" % (self.uuid, self.json_str), raw=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fed644a9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "RenderJSON(data[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4fad229b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_df = pd.DataFrame(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9f75c8b5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data[0][\"text\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eadb23f1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_df = data_df[data_df.answer == \"accept\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "261e6a8c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_df.text[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cbe9e877",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_df.text[1][202:224]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5583aa66",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_df.spans[1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cedd7c42",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def convert_spacy_to_iob(text: str, spans: List[Dict], nlp: spacy.language.Language) -> str:\n",
+    "    doc = nlp(text)\n",
+    "    entities = [(span[\"start\"], span[\"end\"], span[\"label\"].upper()) for span in spans]\n",
+    "    if entities:\n",
+    "        main_entity = list(set(span[\"label\"].upper() for span in spans))[0]\n",
+    "    else:\n",
+    "        main_entity = None\n",
+    "    tags = offsets_to_biluo_tags(doc, entities)\n",
+    "    # then convert L->I and U->B to have IOB tags for the tokens in the doc\n",
+    "    # tags_corrected = [tag.replace(\"L-\", \"I-\").replace(\"U-\", \"B-\") for tag in tags]\n",
+    "    tags_corrected = biluo_to_iob(tags)\n",
+    "    tokens = [token.text for token in doc]\n",
+    "    return {\n",
+    "        \"tokens\": tokens, \n",
+    "        \"tags\": tags_corrected,\n",
+    "        \"label\": main_entity or \"\"\n",
+    "    }"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c7d3aa1c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from spacy.lang import pl\n",
+    "\n",
+    "nlp = pl.Language()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a0449216",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pprint import pprint"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4edc0665",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tokens, tags, label = convert_spacy_to_iob(data_df.text[0], data_df.spans[0], nlp)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "db5c6b07",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tokens"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dee2cf4f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tags"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "656c39a8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "label"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "37e46df4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "iob_dataset = pd.DataFrame([\n",
+    "    {\n",
+    "        **convert_spacy_to_iob(row[\"text\"], row[\"spans\"], nlp),\n",
+    "        \"url\": row[\"url\"],\n",
+    "        \"tweet_id\": row[\"url\"].split(\"/\")[-1],\n",
+    "    }\n",
+    "    for _, row\n",
+    "    in tqdm(data_df.iterrows())\n",
+    "])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "74c3d161",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "iob_dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0caa005a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "iob_dataset.label.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d121b8fd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from more_itertools import flatten "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "55212d38",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sorted(set(flatten(iob_dataset.tags)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8063ab0f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9787243d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train, test = train_test_split(iob_dataset, test_size=0.4)\n",
+    "dev, test = train_test_split(test, test_size=0.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bcb323fc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train.label.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f11f7de6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train.reset_index(inplace=True, drop=True)\n",
+    "train.drop(columns=[\"label\"], inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "459dad3c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9bdcab49",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "len(train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aeff2557",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "len(test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1301717",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "len(dev)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d55c9edc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "636e9268",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test.label.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f5486e11",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test.reset_index(inplace=True, drop=True)\n",
+    "test.drop(columns=[\"label\"], inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "34aa63ef",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c1bc32c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dev"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c8ad5315",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dev.label.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5591dea4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dev.reset_index(inplace=True, drop=True)\n",
+    "dev.drop(columns=[\"label\"], inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "53f0c791",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dev"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1180559d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train.to_json(\"train.json\", orient=\"records\")\n",
+    "test.to_json(\"test.json\", orient=\"records\")\n",
+    "dev.to_json(\"dev.json\", orient=\"records\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d70338dc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_json(\"train.json\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2e774c48",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eea225bb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for idx, row in df.iterrows():\n",
+    "    print(row.tweet_id)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7c5b26e9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(train.head(1).T.values)"
+   ]
+  }
+ ],
+ "metadata": {
+  "interpreter": {
+   "hash": "e36ecc5ec16660b989892b46ab22daaf88d1f0f732170387d9da292f75b1ccf3"
+  },
+  "kernelspec": {
+   "display_name": "Python 3.9.12 64-bit ('embeddings')",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

notebooks/promises-elections-pl-twitter-1-reviewed-fixed-case.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:252999a9d3f323e5333da4885e0e301daf4279ba09e2a6d9b6cc35a1cb330150
+size 11337591